Real-time anomaly detection using soft-computing techniques

J. Copeland, R.C. Garcia
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引用次数: 8

Abstract

This body of work sheds light on the current problems related to network security and applies intelligent tools to some of these problems. While the use of intelligent tools in network security is new, the few papers that have been published offer promising results. Of particular interest is the application of neural networks, fuzzy logic, and evolutionary computation to network security problems (sniffing, IP spoofing, denial of service attacks, etc.). The work here develops a technique that utilizes soft computing tools in order to detect anomalous network behavior, detect and have real-time applicability.
利用软计算技术进行实时异常检测
这项工作揭示了当前与网络安全相关的问题,并将智能工具应用于其中一些问题。虽然在网络安全中使用智能工具是新的,但已经发表的几篇论文提供了有希望的结果。特别感兴趣的是神经网络、模糊逻辑和进化计算在网络安全问题(嗅探、IP欺骗、拒绝服务攻击等)中的应用。本文开发了一种利用软计算工具来检测网络异常行为的技术,该技术具有实时适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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